Model Comparison

o1-preview vs Qwen2.5 VL 32B InstructWhich is better in 2026?

o1-preview significantly outperforms across most benchmarks.

Verdict: o1-preview vs Qwen2.5 VL 32B Instruct — which is better?

o1-preview (by OpenAI) and Qwen2.5 VL 32B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

o1-preview outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks. o1-preview significantly outperforms across most benchmarks.

Choose o1-preview if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Choose Qwen2.5 VL 32B Instruct if…

  • you want the most recent training data — it shipped Feb 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

o1-preview outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

o1-preview significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).

OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas o1-preview does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

o1-preview

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

o1-preview is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

o1-preview

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-preview was released on 2024-09-12, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Qwen2.5 VL 32B Instruct is 6 months newer than o1-preview.

o1-preview

Sep 12, 2024

1.8 years ago

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.3 years ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher GPQA score (73.3% vs 46.0%)
Higher MATH score (85.5% vs 82.2%)
Higher MMLU score (90.8% vs 78.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-preview
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct

FAQ

Common questions about o1-preview vs Qwen2.5 VL 32B Instruct.

Which is better, o1-preview or Qwen2.5 VL 32B Instruct?

o1-preview significantly outperforms across most benchmarks. o1-preview is made by OpenAI and Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does o1-preview compare to Qwen2.5 VL 32B Instruct in benchmarks?

o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for o1-preview and Qwen2.5 VL 32B Instruct?

o1-preview supports 128K tokens and Qwen2.5 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o1-preview and Qwen2.5 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes o1-preview and Qwen2.5 VL 32B Instruct?

o1-preview is developed by OpenAI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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